Matthew Broadhead


TextRunner: Open Information Extraction on the Web
Alexander Yates | Michele Banko | Matthew Broadhead | Michael Cafarella | Oren Etzioni | Stephen Soderland
Proceedings of Human Language Technologies: The Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL-HLT)


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A modular approach to spoken language translation for large domains
Monika Woszczcyna | Matthew Broadhead | Donna Gates | Marsal Gavaldá | Alon Lavie | Lori Levin | Alex Waibel
Proceedings of the Third Conference of the Association for Machine Translation in the Americas: Technical Papers

The MT engine of the JANUS speech-to-speech translation system is designed around four main principles: 1) an interlingua approach that allows the efficient addition of new languages, 2) the use of semantic grammars that yield low cost high quality translations for limited domains, 3) modular grammars that support easy expansion into new domains, and 4) efficient integration of multiple grammars using multi-domain parse lattices and domain re-scoring. Within the framework of the C-STAR-II speech-to-speech translation effort, these principles are tested against the challenge of providing translation for a number of domains and language pairs with the additional restriction of a common interchange format.


Expanding the Domain of a Multi-lingual Speech-to-Speech Translation System
Alon Lavie | Lori Levin | Puming Zhan | Maite Taboada | Donna Gates | Mirella Lapata | Cortis Clark | Matthew Broadhead | Alex Waibel
Spoken Language Translation